SFI welcomes Omidyar Fellow Andrés Ortiz-Muñoz, who holds a BS in mathematics and physics from the University of Texas at El Paso and is completing a PhD in biology at CalTech.
SFI welcomes Program Postdoctoral Fellow George Cantwell, who is completing his PhD in physics at the University of Michigan and recently tackled one well-known flaw in network modeling that has persisted since the 1930s, and who will be working with SFI Professor Cris Moore.
COVID-19 is changing fundamentally the way we talk about the economy, SFI's Wendy Carlin and Sam Bowles argue in an op-ed for the Financial Times.
The U.S. is likely to see a near-term 24% drop in employment, 17% percent drop in wages, and 22% drop in economic activity as a result of the COVID-19 crisis according to a new study co-authored by SFI External Professor Doyne Farmer at the University of Oxford. These impacts will be very unevenly distributed, with the bottom quarter of earners at risk of a 42% loss in employment and bearing a 30% share of total wage losses. In contrast, the study estimates the top quarter of earners only risk a 7% drop in employment and an 18% share of wage losses.
Despite the near-universal assumption of individuality in biology, there is little agreement about what individuals are and few rigorous quantitative methods for their identification. A new approach may solve the problem by defining individuals in terms of informational processes.
In their op-ed for STAT, former SFI postdoctoral fellow Laurent Hébert-Dufresne (University of Vermont) and current postdoc Vicky Chuqiao Yang, Complexity Postdoctoral Fellow and Peters Hurst Scholar, argue that if scientists hope to develop better epidemiological models, they must grasp the complex interplay between social behavior and disease.
On March 31, five speakers from epidemiology and economics discussed strategies for both public health and economic recovery, and answered questions from the SFI community.
SFI External Professor Joshua Epstein states the contagion of fear is as significant to the current pandemic as the novel coronavirus itself.
By using transmission to our advantage, we can eliminate coronavirus through citizen-based medicine.
Abrupt environmental changes, known as regime shifts, are the subject of new research in which shows how small environmental changes trigger slow evolutionary processes that eventually precipitate collapse.
Shifting from carbon-emitting energy sources to renewable ones will be an essential part of addressing climate change, but the path to a renewable power grid is uncharted. A February 26-28 working group explores how New Mexico might best approach the transition to renewable energy sources, and what lessons could be useful for other regions.
NPR’s David Brancaccio is hosting a free, virtual book club around the CORE team's introductory econ textbook.
New work led by SFI researchers reconciles divergent methods used to analyze the scaling behavior of cities.
In a recent essay at Aeon, a group of four SFI researchers (Doyne Farmer, Fotini Markopolou, Eric Beinhocker, and Steen Rasmussen) argue that if we study the co-evolution of social and physical technologies we can better respond to new threats to democracy.
A new Scientific Reports paper puts an evolutionary twist on a classic question. Instead of asking why we get cancer, Leonardo Oña of Osnabrück University and Michael Lachmann of the Santa Fe Institute use signaling theory to explore how our bodies have evolved to keep us from getting more cancer.
In an op-ed for The Conversation, SFI External Professor Orit Peleg and her colleagues describe research that takes a close look at the structures that break-off swarms adopt to protect themselves from the elements.